| Records |
| Author |
Altimiras, F.; Garcia, J.A.; Palacios-Garcia, I.; Hurley, M.J.; Deacon, R.; Gonzalez, B.; Cogram, P. |
| Title |
Altered Gut Microbiota in a Fragile X Syndrome Mouse Model |
Type |
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| Year |
2021 |
Publication |
Frontiers in Neuroscience |
Abbreviated Journal |
Front. Neurosci. |
| Volume |
15 |
Issue |
|
Pages |
653120 |
| Keywords |
AKKERMANSIA-MUCINIPHILA; BRAIN; AUTISM; METABOLISM; ECOLOGY; HEALTH; BOWEL |
| Abstract |
The human gut microbiome is the ecosystem of microorganisms that live in the human digestive system. Several studies have related gut microbiome variants to metabolic, immune and nervous system disorders. Fragile X syndrome (FXS) is a neurodevelopmental disorder considered the most common cause of inherited intellectual disability and the leading monogenetic cause of autism. The role of the gut microbiome in FXS remains largely unexplored. Here, we report the results of a gut microbiome analysis using a FXS mouse model and 16S ribosomal RNA gene sequencing. We identified alterations in the fmr1 KO2 gut microbiome associated with different bacterial species, including those in the genera Akkermansia, Sutterella, Allobaculum, Bifidobacterium, Odoribacter, Turicibacter, Flexispira, Bacteroides, and Oscillospira. Several gut bacterial metabolic pathways were significantly altered in fmr1 KO2 mice, including menaquinone degradation, catechol degradation, vitamin B6 biosynthesis, fatty acid biosynthesis, and nucleotide metabolism. Several of these metabolic pathways, including catechol degradation, nucleotide metabolism and fatty acid biosynthesis, were previously reported to be altered in children and adults with autism. The present study reports a potential association of the gut microbiome with FXS, thereby opening new possibilities for exploring reliable treatments and non-invasive biomarkers. |
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| Publisher |
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Place of Publication |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1662-453X |
ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
WOS:000659516900001 |
Approved |
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| Call Number |
UAI @ alexi.delcanto @ |
Serial |
1415 |
| Permanent link to this record |
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| Author |
Goles, E.; Palacios, A.G. |
| Title |
Dynamical complexity in cognitive neural networks |
Type |
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| Year |
2007 |
Publication |
Biological Research |
Abbreviated Journal |
Biol. Res. |
| Volume |
40 |
Issue |
4 |
Pages |
479-485 |
| Keywords |
artificial; neural net; brain; dynamical complexity; computational Neurosciences; cellular automata |
| Abstract |
In the last twenty years an important effort in brain sciences, especially in cognitive science, has been the development of mathematical tool that can deal with the complexity of extensive recordings corresponding to the neuronal activity obtained from hundreds of neurons. We discuss here along with some historical issues, advantages and limitations of Artificial Neural Networks (ANN) that can help to understand how simple brain circuits work and whether ANN can be helpful to understand brain neural complexity. |
| Address |
[Goles, Eric] Univ Adolfo Ibanez, Fac Ciencias, Santiago, Chile, Email: eric.chacc@uai.cl |
| Corporate Author |
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Thesis |
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| Publisher |
Soc Biolgia Chile |
Place of Publication |
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Editor |
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| Language |
English |
Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
0716-9760 |
ISBN |
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Expedition |
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Conference |
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| Notes |
WOS:000256072000009 |
Approved |
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| Call Number |
UAI @ eduardo.moreno @ |
Serial |
33 |
| Permanent link to this record |
